import numpy as np

n = 10

m = 45

m_test = 45

sigma= 0.250

train = np.array([[ 1,  2,  1],
       [ 1,  3,  1],
       [ 1,  4,  1],
       [ 1,  5,  1],
       [ 1,  6,  1],
       [ 1,  7,  1],
       [ 1,  8,  1],
       [ 1,  9,  1],
       [ 1, 10,  1],
       [ 2,  3, -1],
       [ 2,  4, -1],
       [ 2,  5, -1],
       [ 2,  6, -1],
       [ 2,  7, -1],
       [ 2,  8, -1],
       [ 2,  9, -1],
       [ 2, 10, -1],
       [ 3,  4,  1],
       [ 3,  5, -1],
       [ 3,  6, -1],
       [ 3,  7,  1],
       [ 3,  8,  1],
       [ 3,  9,  1],
       [ 3, 10,  1],
       [ 4,  5, -1],
       [ 4,  6, -1],
       [ 4,  7,  1],
       [ 4,  8,  1],
       [ 4,  9, -1],
       [ 4, 10, -1],
       [ 5,  6,  1],
       [ 5,  7,  1],
       [ 5,  8,  1],
       [ 5,  9, -1],
       [ 5, 10,  1],
       [ 6,  7,  1],
       [ 6,  8,  1],
       [ 6,  9, -1],
       [ 6, 10, -1],
       [ 7,  8,  1],
       [ 7,  9,  1],
       [ 7, 10, -1],
       [ 8,  9, -1],
       [ 8, 10, -1],
       [ 9, 10,  1]])

test = np.array([[ 1,  2,  1],
       [ 1,  3,  1],
       [ 1,  4,  1],
       [ 1,  5,  1],
       [ 1,  6,  1],
       [ 1,  7,  1],
       [ 1,  8,  1],
       [ 1,  9,  1],
       [ 1, 10,  1],
       [ 2,  3, -1],
       [ 2,  4,  1],
       [ 2,  5, -1],
       [ 2,  6, -1],
       [ 2,  7, -1],
       [ 2,  8,  1],
       [ 2,  9, -1],
       [ 2, 10, -1],
       [ 3,  4,  1],
       [ 3,  5, -1],
       [ 3,  6,  1],
       [ 3,  7,  1],
       [ 3,  8,  1],
       [ 3,  9, -1],
       [ 3, 10,  1],
       [ 4,  5, -1],
       [ 4,  6, -1],
       [ 4,  7, -1],
       [ 4,  8,  1],
       [ 4,  9, -1],
       [ 4, 10, -1],
       [ 5,  6, -1],
       [ 5,  7,  1],
       [ 5,  8,  1],
       [ 5,  9,  1],
       [ 5, 10,  1],
       [ 6,  7,  1],
       [ 6,  8,  1],
       [ 6,  9,  1],
       [ 6, 10,  1],
       [ 7,  8,  1],
       [ 7,  9, -1],
       [ 7, 10,  1],
       [ 8,  9, -1],
       [ 8, 10, -1],
       [ 9, 10,  1]])